Add files

agent_api_web_demo.py

@@ -1,199 +0,0 @@
-
-import copy
-import os
-from typing import List
-import streamlit as st
-from lagent.actions import ArxivSearch, WeatherQuery
-from lagent.prompts.parsers import PluginParser
-from lagent.agents.stream import INTERPRETER_CN, META_CN, PLUGIN_CN, AgentForInternLM, get_plugin_prompt
-from lagent.llms import GPTAPI
-
-class SessionState:
-    """管理会话状态的类。"""
-
-    def init_state(self):
-        """初始化会话状态变量。"""
-        st.session_state['assistant'] = []  # 助手消息历史
-        st.session_state['user'] = []  # 用户消息历史
-        # 初始化插件列表
-        action_list = [
-            ArxivSearch(),
-            WeatherQuery(),
-       ]
-        st.session_state['plugin_map'] = {action.name: action for action in action_list}
-        st.session_state['model_map'] = {}  # 存储模型实例
-        st.session_state['model_selected'] = None  # 当前选定模型
-        st.session_state['plugin_actions'] = set()  # 当前激活插件
-        st.session_state['history'] = []  # 聊天历史
-        st.session_state['api_base'] = None  # 初始化API base地址
-
-    def clear_state(self):
-        """清除当前会话状态。"""
-        st.session_state['assistant'] = []
-        st.session_state['user'] = []
-        st.session_state['model_selected'] = None
-
-
-class StreamlitUI:
-    """管理 Streamlit 界面的类。"""
-
-    def __init__(self, session_state: SessionState):
-        self.session_state = session_state
-        self.plugin_action = []  # 当前选定的插件
-        # 初始化提示词
-        self.meta_prompt = META_CN
-        self.plugin_prompt = PLUGIN_CN
-        self.init_streamlit()
-
-    def init_streamlit(self):
-        """初始化 Streamlit 的 UI 设置。"""
-        # st.set_page_config(
-        #     layout='wide',
-        #     page_title='lagent-web',
-        #     page_icon='./docs/imgs/lagent_icon.png'
-        # )
-        st.header(':robot_face: :blue[Lagent] Web Demo ', divider='rainbow')
-
-    def setup_sidebar(self):
-        """设置侧边栏，选择模型和插件。"""
-        # 模型名称和 API Base 输入框
-        model_name = st.sidebar.text_input('模型名称：', value='internlm2.5-latest')
-        # model_name = st.sidebar.text_input('模型名称：', value='internlm/internlm2_5-7b-chat')
-
-        
-        # ================================== 硅基流动的API ==================================
-        # 注意，如果采用硅基流动API，模型名称需要更改为：internlm/internlm2_5-7b-chat 或者 internlm/internlm2_5-20b-chat
-        # api_base = st.sidebar.text_input(
-        #     'API Base 地址：', value='https://api.siliconflow.cn/v1/chat/completions'
-        # )
-        # ================================== 浦语官方的API ==================================
-        api_base = st.sidebar.text_input(
-            'API Base 地址：', value='https://internlm-chat.intern-ai.org.cn/puyu/api/v1/chat/completions'
-        )
-        # ==================================================================================
-        # 插件选择
-        plugin_name = st.sidebar.multiselect(
-            '插件选择',
-            options=list(st.session_state['plugin_map'].keys()),
-            default=[],
-        )
-
-        # 根据选择的插件生成插件操作列表
-        self.plugin_action = [st.session_state['plugin_map'][name] for name in plugin_name]
-
-        # 动态生成插件提示
-        if self.plugin_action:
-            self.plugin_prompt = get_plugin_prompt(self.plugin_action)
-
-        # 清空对话按钮
-        if st.sidebar.button('清空对话', key='clear'):
-            self.session_state.clear_state()
-
-        return model_name, api_base, self.plugin_action
-
-    def initialize_chatbot(self, model_name, api_base, plugin_action):
-        """初始化 GPTAPI 实例作为 chatbot。"""
-        token = os.getenv("token")
-        if not token:
-            st.error("未检测到环境变量 `token`，请设置环境变量，例如 `export token='your_token_here'` 后重新运行 X﹏X")
-            st.stop()  # 停止运行应用
-            
-        # 创建完整的 meta_prompt，保留原始结构并动态插入侧边栏配置
-        meta_prompt = [
-            {"role": "system", "content": self.meta_prompt, "api_role": "system"},
-            {"role": "user", "content": "", "api_role": "user"},
-            {"role": "assistant", "content": self.plugin_prompt, "api_role": "assistant"},
-            {"role": "environment", "content": "", "api_role": "environment"}
-        ]
-
-        api_model = GPTAPI(
-            model_type=model_name,
-            api_base=api_base,
-            key=token,  # 从环境变量中获取授权令牌
-            meta_template=meta_prompt,
-            max_new_tokens=512,
-            temperature=0.8,
-            top_p=0.9
-        )
-        return api_model
-
-    def render_user(self, prompt: str):
-        """渲染用户输入内容。"""
-        with st.chat_message('user'):
-            st.markdown(prompt)
-
-    def render_assistant(self, agent_return):
-        """渲染助手响应内容。"""
-        with st.chat_message('assistant'):
-            content = getattr(agent_return, "content", str(agent_return))
-            st.markdown(content if isinstance(content, str) else str(content))
-
-
-def main():
-    """主函数，运行 Streamlit 应用。"""
-    if 'ui' not in st.session_state:
-        session_state = SessionState()
-        session_state.init_state()
-        st.session_state['ui'] = StreamlitUI(session_state)
-    else:
-        # st.set_page_config(
-        #     layout='wide',
-        #     page_title='lagent-web',
-        #     page_icon='./docs/imgs/lagent_icon.png'
-        # )
-        st.header(':robot_face: :blue[Lagent] Web Demo ', divider='rainbow')
-
-    # 设置侧边栏并获取模型和插件信息
-    model_name, api_base, plugin_action = st.session_state['ui'].setup_sidebar()
-    plugins = [dict(type=f"lagent.actions.{plugin.__class__.__name__}") for plugin in plugin_action]
-
-    if (
-        'chatbot' not in st.session_state or
-        model_name != st.session_state['chatbot'].model_type or
-        'last_plugin_action' not in st.session_state or
-        plugin_action != st.session_state['last_plugin_action'] or
-        api_base != st.session_state['api_base']    
-    ):
-        # 更新 Chatbot
-        st.session_state['chatbot'] = st.session_state['ui'].initialize_chatbot(model_name, api_base, plugin_action)
-        st.session_state['last_plugin_action'] = plugin_action  # 更新插件状态
-        st.session_state['api_base'] = api_base  # 更新 API Base 地址
-
-        # 初始化 AgentForInternLM
-        st.session_state['agent'] = AgentForInternLM(
-            llm=st.session_state['chatbot'],
-            plugins=plugins,
-            output_format=dict(
-                type=PluginParser,
-                template=PLUGIN_CN,
-                prompt=get_plugin_prompt(plugin_action)
-            )
-        )
-        # 清空对话历史
-        st.session_state['session_history'] = []
-
-    if 'agent' not in st.session_state:
-        st.session_state['agent'] = None
-
-    agent = st.session_state['agent']
-    for prompt, agent_return in zip(st.session_state['user'], st.session_state['assistant']):
-        st.session_state['ui'].render_user(prompt)
-        st.session_state['ui'].render_assistant(agent_return)
-
-    # 处理用户输入
-    if user_input := st.chat_input(''):
-        st.session_state['ui'].render_user(user_input)
-
-        # 调用模型时确保侧边栏的系统提示词和插件提示词生效
-        res = agent(user_input, session_id=0)
-        st.session_state['ui'].render_assistant(res)
-
-        # 更新会话状态
-        st.session_state['user'].append(user_input)
-        st.session_state['assistant'].append(copy.deepcopy(res))
-
-    st.session_state['last_status'] = None
-
-
-if __name__ == '__main__':
-    main()